Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience
<h3>Abstract</h3><p dir="ltr">Ultraliser is a neuroscience-specific software framework capable of creating accurate and biologically realistic 3D models of complex neuroscientific structures at intracellular (e.g. mitochondria and endoplasmic reticula), cellular (e.g. neu...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , , , , , , , |
| منشور في: |
2022
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| الموضوعات: | |
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إضافة وسم
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| _version_ | 1864513507135848448 |
|---|---|
| author | Marwan Abdellah (4435360) |
| author2 | Juan José García Cantero (19482310) Nadir Román Guerrero (19482313) Alessandro Foni (19482316) Jay S Coggan (19482319) Corrado Calì (5474372) Marco Agus (8032898) Eleftherios Zisis (19482322) Daniel Keller (736343) Markus Hadwiger (2567419) Pierre J Magistretti (8490159) Henry Markram (279518) Felix Schürmann (171947) |
| author2_role | author author author author author author author author author author author author |
| author_facet | Marwan Abdellah (4435360) Juan José García Cantero (19482310) Nadir Román Guerrero (19482313) Alessandro Foni (19482316) Jay S Coggan (19482319) Corrado Calì (5474372) Marco Agus (8032898) Eleftherios Zisis (19482322) Daniel Keller (736343) Markus Hadwiger (2567419) Pierre J Magistretti (8490159) Henry Markram (279518) Felix Schürmann (171947) |
| author_role | author |
| dc.creator.none.fl_str_mv | Marwan Abdellah (4435360) Juan José García Cantero (19482310) Nadir Román Guerrero (19482313) Alessandro Foni (19482316) Jay S Coggan (19482319) Corrado Calì (5474372) Marco Agus (8032898) Eleftherios Zisis (19482322) Daniel Keller (736343) Markus Hadwiger (2567419) Pierre J Magistretti (8490159) Henry Markram (279518) Felix Schürmann (171947) |
| dc.date.none.fl_str_mv | 2022-11-26T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1093/bib/bbac491 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Ultraliser_a_framework_for_creating_multiscale_high-fidelity_and_geometrically_realistic_3D_models_for_i_in_silico_i_neuroscience/26830141 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Neurosciences Information and computing sciences Computer vision and multimedia computation ultrastructure mesh reconstruction voxelization watertight in silico molecular simulations reaction–diffusion simulations optical imaging simulations Ultraliser |
| dc.title.none.fl_str_mv | Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Abstract</h3><p dir="ltr">Ultraliser is a neuroscience-specific software framework capable of creating accurate and biologically realistic 3D models of complex neuroscientific structures at intracellular (e.g. mitochondria and endoplasmic reticula), cellular (e.g. neurons and glia) and even multicellular scales of resolution (e.g. cerebral vasculature and minicolumns). Resulting models are exported as triangulated surface meshes and annotated volumes for multiple applications in in silico neuroscience, allowing scalable supercomputer simulations that can unravel intricate cellular structure–function relationships. Ultraliser implements a high-performance and unconditionally robust voxelization engine adapted to create optimized watertight surface meshes and annotated voxel grids from arbitrary non-watertight triangular soups, digitized morphological skeletons or binary volumetric masks. The framework represents a major leap forward in simulation-based neuroscience, making it possible to employ high-resolution 3D structural models for quantification of surface areas and volumes, which are of the utmost importance for cellular and system simulations. The power of Ultraliser is demonstrated with several use cases in which hundreds of models are created for potential application in diverse types of simulations. Ultraliser is publicly released under the GNU GPL3 license on GitHub (<a href="https://github.com/BlueBrain/Ultraliser" target="_blank">BlueBrain/Ultraliser</a>).</p><h3>Significance</h3><p dir="ltr">There is crystal clear evidence on the impact of cell shape on its signaling mechanisms. Structural models can therefore be insightful to realize the function; the more realistic the structure can be, the further we get insights into the function. Creating realistic structural models from existing ones is challenging, particularly when needed for detailed subcellular simulations. We present Ultraliser, a neuroscience-dedicated framework capable of building these structural models with realistic and detailed cellular geometries that can be used for simulations.</p><h2>Other Information</h2><p dir="ltr">Published in: Briefings in Bioinformatics<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1093/bib/bbac491" target="_blank">https://dx.doi.org/10.1093/bib/bbac491</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_c036eb0cb1457e0ff0994ae407ba871d |
| identifier_str_mv | 10.1093/bib/bbac491 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26830141 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscienceMarwan Abdellah (4435360)Juan José García Cantero (19482310)Nadir Román Guerrero (19482313)Alessandro Foni (19482316)Jay S Coggan (19482319)Corrado Calì (5474372)Marco Agus (8032898)Eleftherios Zisis (19482322)Daniel Keller (736343)Markus Hadwiger (2567419)Pierre J Magistretti (8490159)Henry Markram (279518)Felix Schürmann (171947)Biomedical and clinical sciencesNeurosciencesInformation and computing sciencesComputer vision and multimedia computationultrastructuremesh reconstructionvoxelizationwatertightin silicomolecular simulationsreaction–diffusion simulationsoptical imaging simulationsUltraliser<h3>Abstract</h3><p dir="ltr">Ultraliser is a neuroscience-specific software framework capable of creating accurate and biologically realistic 3D models of complex neuroscientific structures at intracellular (e.g. mitochondria and endoplasmic reticula), cellular (e.g. neurons and glia) and even multicellular scales of resolution (e.g. cerebral vasculature and minicolumns). Resulting models are exported as triangulated surface meshes and annotated volumes for multiple applications in in silico neuroscience, allowing scalable supercomputer simulations that can unravel intricate cellular structure–function relationships. Ultraliser implements a high-performance and unconditionally robust voxelization engine adapted to create optimized watertight surface meshes and annotated voxel grids from arbitrary non-watertight triangular soups, digitized morphological skeletons or binary volumetric masks. The framework represents a major leap forward in simulation-based neuroscience, making it possible to employ high-resolution 3D structural models for quantification of surface areas and volumes, which are of the utmost importance for cellular and system simulations. The power of Ultraliser is demonstrated with several use cases in which hundreds of models are created for potential application in diverse types of simulations. Ultraliser is publicly released under the GNU GPL3 license on GitHub (<a href="https://github.com/BlueBrain/Ultraliser" target="_blank">BlueBrain/Ultraliser</a>).</p><h3>Significance</h3><p dir="ltr">There is crystal clear evidence on the impact of cell shape on its signaling mechanisms. Structural models can therefore be insightful to realize the function; the more realistic the structure can be, the further we get insights into the function. Creating realistic structural models from existing ones is challenging, particularly when needed for detailed subcellular simulations. We present Ultraliser, a neuroscience-dedicated framework capable of building these structural models with realistic and detailed cellular geometries that can be used for simulations.</p><h2>Other Information</h2><p dir="ltr">Published in: Briefings in Bioinformatics<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1093/bib/bbac491" target="_blank">https://dx.doi.org/10.1093/bib/bbac491</a></p>2022-11-26T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1093/bib/bbac491https://figshare.com/articles/journal_contribution/Ultraliser_a_framework_for_creating_multiscale_high-fidelity_and_geometrically_realistic_3D_models_for_i_in_silico_i_neuroscience/26830141CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/268301412022-11-26T09:00:00Z |
| spellingShingle | Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience Marwan Abdellah (4435360) Biomedical and clinical sciences Neurosciences Information and computing sciences Computer vision and multimedia computation ultrastructure mesh reconstruction voxelization watertight in silico molecular simulations reaction–diffusion simulations optical imaging simulations Ultraliser |
| status_str | publishedVersion |
| title | Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience |
| title_full | Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience |
| title_fullStr | Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience |
| title_full_unstemmed | Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience |
| title_short | Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience |
| title_sort | Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience |
| topic | Biomedical and clinical sciences Neurosciences Information and computing sciences Computer vision and multimedia computation ultrastructure mesh reconstruction voxelization watertight in silico molecular simulations reaction–diffusion simulations optical imaging simulations Ultraliser |